A User Attribute Recommendation Algorithm and Peer3D Technology based WebVR P2P Transmission Scheme

Huijuan Zhang, Lei Qiao, Dongqing Wang
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Abstract

At present, the WebVR technology based on mobile Internet is becoming more and more mature, but there is relatively little research on P2P transmission of WebVR scene data between mobile web pages. For the past WebTorrent scheme, the concept of interest domain and avatar behavior grouping is not considered, but only pure P2P transmission problem is considered. On the one hand, a more scalable WebVR peer-to-peer transmission platform is implemented based on PeerJS, on the other hand, considering the behavioral characteristics of WebVR avatars, a WebVR interest domain partitioning method based on user attribute recommendation algorithm is proposed. Experimental results show that the proposed scheme has good results for WebVR peer-to-peer transmission.
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基于用户属性推荐算法和Peer3D技术的WebVR P2P传输方案
目前,基于移动互联网的WebVR技术日趋成熟,但关于WebVR场景数据在移动网页间P2P传输的研究相对较少。以往的WebTorrent方案没有考虑兴趣域和头像行为分组的概念,只考虑纯P2P传输问题。一方面,基于PeerJS实现了更具可扩展性的WebVR点对点传输平台,另一方面,考虑到WebVR虚拟人物的行为特征,提出了一种基于用户属性推荐算法的WebVR兴趣域划分方法。实验结果表明,该方案在WebVR点对点传输中取得了良好的效果。
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